Image Classification
timm
PyTorch
Safetensors
vision-transformer
deit3
gravitational-lensing
strong-lensing
astronomy
astrophysics
Eval Results (legacy)
Instructions to use parlange/deit3-gravit-a3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use parlange/deit3-gravit-a3 with timm:
import timm model = timm.create_model("hf_hub:parlange/deit3-gravit-a3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 088015199537e157096f4d479ab90bafd7ea52d0103741382bd4165fd776f7fb
- Size of remote file:
- 343 MB
- SHA256:
- 96e852590e96306dd5d1b65ea3743a35c951f6601f96d4b5b928bf95213680f4
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